Knowledge representation is as the foundation of artificial intelligence and plays a crucial role in the function of intelligent models. In this paper, through the study of existing knowledge representation methods, we find that these knowledge representations only model a single domain, but human intelligence is comprehensive and is capable of solving complex problems across domains, and these knowledge representations are incomplete in their definition and representation of knowledge. Based on this, this paper provides a clear definition of knowledge from the theory of consciousness-only, and analyzes and compares the existing knowledge representation methods from three completely new perspectives: composition, role, and characteristics of knowledge. Through the comparative analysis, it is found that the AORBCO model has advantages over other models in completeness and intelligence of knowledge representation, and can better represent intelligence and more complete and comprehensive representation of different knowledge.
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